Lifeboat Foundation

A growing number of devices are now connected to the internet and are capable of collecting, sending and receiving data. This interconnection between devices, referred to as the Internet of Things (IoT), poses serious security threats, as cyberattackers can now target computers and smartphones, but also a vast array of other devices, such as tablets, smart watches, smart home systems, transportation systems and so on.

For the time being, examples of large-scale IoT implementations (e.g. connected infrastructure, cities, etc.) are somewhat limited, yet they could soon become widespread, posing significant risks for businesses and public services that heavily rely on the internet in their daily operations. To mitigate these risks, researchers have been trying to develop security measures to protect devices connected to the internet from wireless network attacks.

To this end, two researchers at Baoji University of Arts and Sciences, in China, have recently developed a new method to defend devices in an IOT environment from wireless network attacks. Their approach, presented in a paper published in Springer’s International Journal of Wireless Information Networks, combines a deep neural network with a model based on game theory, a branch of mathematics that proposes strategies for dealing with situations that entail competition between different parties.

Continue reading “Defense against wireless attacks using a deep neural network and game theory” »

Wearing a sensor-packed glove while handling a variety of objects, MIT researchers have compiled a massive dataset that enables an AI system to recognize objects through touch alone. The information could be leveraged to help robots identify and manipulate objects, and may aid in prosthetics design.

The researchers developed a low-cost knitted glove, called “scalable tactile glove” (STAG), equipped with about 550 tiny sensors across nearly the entire hand. Each sensor captures pressure signals as humans interact with objects in various ways. A neural network processes the signals to “learn” a dataset of pressure-signal patterns related to specific objects. Then, the system uses that dataset to classify the objects and predict their weights by feel alone, with no visual input needed.

In a paper published in Nature, the researchers describe a dataset they compiled using STAG for 26 common objects—including a soda can, scissors, tennis ball, spoon, pen, and mug. Using the dataset, the system predicted the objects’ identities with up to 76 percent accuracy. The system can also predict the correct weights of most objects within about 60 grams.

Continue reading “Sensor-packed glove learns signatures of the human grasp” »

Self-driving cars, voice assistants, and facial recognition technology are just a few of the advancements made possible by Hinton, LeCun, and Bengio’s work.

The award, named after British mathematician Alan Turing, carries a $1 million prize, which the trio will split. Previous Turing Award winners include Tim Berners-Lee, best known for inventing the World Wide Web.

Hinton is currently a top AI researcher at Google. LeCun is now at Facebook, working as the company’s chief AI scientist. Bengio has remained in academia but has worked with companies such as AT&T, Microsoft, and IBM.

Continue reading “The ‘Godfathers of AI’ win Turing Award” »

Startup Deeptrace is racing to develop automated detection of fake videos and images as U.S. 2020 elections loom.

Popular films like “Her” and series such as “Black Mirror” depict a future of intimate relationships in a high-tech world: Man falls in love with operating system, woman loves person she meets in virtual reality. The rise of technologies like artificial intelligence (AI) may play a huge role in the future of our interpersonal relationships. Hardware, such as robots we could touch and feel, are one example of what this AI could look like; another would be software, or algorithms that take on a persona like Alexa or Siri and can seemingly interact with us.

Beyond overused sci-fi clichés, there’s great potential for AI to increase the authenticity and value of real human relationships. Below are some impressions of how AI might enhance the quality of friendship, romantic and professional relationships.

Dating

Men are from Mars and women are from Venus, but AI can be programmed to translate, helping circumvent missteps in love. Algorithms as key matchmakers in the future of dating might provide the support and information people need beyond the first date. For example, an AI personal assistant may give insights on how to approach someone for a second date, based on information culled from the first meeting, the internet and various digital databases. Soon, one’s tweets, likes and Facebook circle of friends could be used to build our dating profile and then a fool-proof guide to dating the other person.

Continue reading “How AI Might Help Us Decode Our World” »

https://youtu.be/hXnXh4TwclA

My guest today is Chris Paine, director of the AI documentary film “Do You Trust This Computer?” and previously the documentary “Who Killed the Electric Car?”. The new film is a powerful examination of artificial intelligence centered around insights from the most high-profile thinkers on the subject, including Elon Musk, Stuart Russell, Max Tegmark, Ray Kurzweil, Andrew Ng, Westworld creator Jonathan Nolan and many more. Chris set out to ask these leaders in the field “what scares smart people about AI”, and they did not hold back.

Tesla and SpaceX CEO Elon Musk said that artificial intelligence “doesn’t have to be evil to destroy humanity.” In a new documentary, “Do You Trust This Computer?”.

Okay, this is pretty impressive.

About the Author

Paul Tilghman is a program manager in the Microsystems Technology Office of the Defense Advanced Research Projects Agency, where he’s been overseeing DARPA’s Spectrum Collaboration Challenge.